A vehicle thermal management method, device, computer storage medium and controller

Abstract

The present application belongs to the technical field of vehicle engineering, and particularly relates to a vehicle thermal management method, device, computer storage medium and controller; through the network connection information obtained in advance, the current scene needing to be activated is identified, the network connection signal required by the scene is collected, the future temperature curve is predicted relying on the iteration and optimization algorithm, so that the state of the thermal management system is controlled, the temperature interval of the cockpit and the battery working temperature is maintained in a suitable state, which is beneficial to improving the battery endurance mileage and service life, and also improves the user's vehicle experience; through activating the target scene or target scene sequence in the preplan scene under the current scene, the parameter adjustment process of the thermal management object is intervened in advance at different time or space positions, so that the multi-scenario predictive thermal management function MPTM (Multi-Scenario Predictive Thermal Management) of the vehicle system is realized.

Description

Technical Field

[0001] This invention belongs to the field of vehicle engineering technology, and particularly relates to a vehicle thermal management method, device, computer storage medium and controller. Background Technology

[0002] Temperature is a core parameter for thermal management system control and a core environmental parameter for vehicle human-machine system. Suitable temperature is beneficial to improving equipment operating efficiency, extending equipment life and reducing energy consumption. On the other hand, it is also a core indicator for measuring passenger comfort and will directly or indirectly improve the driving and riding characteristics of the vehicle.

[0003] With the development of new energy vehicle technology, the vehicle thermal management system is closely related to the performance of core automotive components and has gradually become a key factor restricting the overall vehicle performance. On the one hand, the thermal management system needs to meet the comfort requirements of passenger compartment cooling and heating, and on the other hand, it should also ensure that components such as power batteries, motors, and engines operate within a suitable temperature range to ensure their safety and extend their service life. Among these, power batteries, due to their temperature sensitivity, often become the focus of thermal management control research.

[0004] Further research by the inventors revealed that temperature has an irreversible impact on the performance of power batteries, thus requiring reasonable and effective control of the battery's operating temperature. Excessively high or low battery temperatures, or inconsistent temperatures, can lead to a decrease in battery capacity, operating voltage, and charging / discharging efficiency, or even cause performance mismatch between battery modules and premature failure. This, in turn, reduces battery range, reliability, and safety. Furthermore, battery temperature significantly affects charging performance, limiting the maximum charging current and causing charging delays, thus impacting vehicle efficiency. Summary of the Invention

[0005] To address the above issues and ensure that the operating temperature of the power battery and other components remains within a reasonable range, thermal management systems can currently be divided into two main categories: passive and active. Passive systems do not consume energy but require thermal energy storage devices, such as thermal management systems based on phase change materials. Active systems, on the other hand, consume energy and intervene with heating / cooling in a short period of time. Active systems can employ air-based, liquid-based, heat pipe-based, and related systems based on the internal thermal management of the battery.

[0006] Compared to passive systems, active systems have a wider range of applications and can adaptively adjust the temperature of the controlled components according to demand, but at the same time, they require additional thermal management energy consumption.

[0007] Currently, related thermal management controls only address the current vehicle status and cannot predictively implement global planning and temperature regulation; their application is heavily influenced by additional thermal management energy consumption losses and urgently needs improvement.

[0008] With the popularization of intelligent connected technologies, on the one hand, high-precision maps, sensors and other environmental perception systems can be used to obtain information about the road ahead, estimate the temperature of controlled components on the road in the future, and thus plan thermal management control strategies, adaptively adjust thermal management commands, and improve the service life of components and driving range; on the other hand, the connected human-machine interaction system can receive thermal management requirements in user-specified scenarios, customize intelligent control to fit user-defined habits, and improve the driving experience.

[0009] This invention discloses a vehicle thermal management method, including a first target scenario prediction step and a second pre-adjustment information activation step. The first target scenario prediction step divides the working scenario of the thermal management object into a current scenario and a sequence of contingency scenarios. The current scenario is the working scenario in which the thermal management object is currently / in real time, and the sequence of contingency scenarios includes at least a first type of contingency scenario, which is the working scenario in which the thermal management object will appear at a second time / period and / or a second spatial location.

[0010] The second pre-adjustment information activation step selects one or a specified number of scenarios from the pre-plan scenario sequence as the target scenario or target scenario sequence. If the preset scenario activation conditions are met, the control parameters of the first heat exchange state of the heat management object are allowed to be adjusted according to the pre-plan scenario sequence in the current scenario, and scenario intervention information is sent to the preset execution unit for decision-making. The first heat exchange state is the heat exchange state of the heat management object in the current scenario. Usually, the first heat exchange state may be optimal or optimized for the current scenario, but it may be unknown or non-optimal for the target scenario or target scenario sequence.

[0011] In order to achieve an actual intervention effect on the target scene or target scene sequence, it can also be achieved through a third spatiotemporal planning pre-adjustment step; the third spatiotemporal planning pre-adjustment step needs to adjust the thermal management object according to the first thermal management parameter sequence corresponding to the target scene or the second thermal management parameter sequence corresponding to the selected scene in the target scene sequence, and intervene in its first heat exchange state; the selected scene needs to be selected by the target scene sequence.

[0012] The contingency plan scenario sequence may further include at least one of the following: a second type of contingency plan scenario, a third type of contingency plan scenario, a fourth type of contingency plan scenario, a fifth type of contingency plan scenario, up to a Nth type of contingency plan scenario (0NN), where N is a positive integer greater than or equal to 1. Specifically, the first type of contingency plan scenario may be a remote cockpit pre-adjustment scenario, which, with the additional condition that the vehicle is in a parked state and the battery's state of charge (SOC) is sufficient to support energy consumption requirements, predicts the temperature sequence of the thermal management object and inversely calculates the time when the scenario intervention information is triggered, thus intervening in its first heat exchange state in advance.

[0013] Furthermore, if the target scenario or selected scenario is a first-class contingency scenario, the target parameters of the first-class contingency scenario can be specified by the mobile terminal in the current scenario by the location of the thermal management object or remotely / remotely; if the target scenario or selected scenario is a second-class contingency scenario and / or a third-class contingency scenario, and the second-class contingency scenario is a battery high-load pre-adjustment scenario and the third-class contingency scenario is a battery charging pre-adjustment scenario, then the thermal management object will be intervened before entering the target scenario or selected scenario, and its scenario intervention information will be sent according to the requirements of the target temperature range during charging and / or battery high-load conditions.

[0014] Specifically, if the target scenario or selected scenario is a Class IV contingency plan scenario and / or a Class V contingency plan scenario, and the thermal management object will enter the off state with the vehicle and the vehicle has no charging requirement under the Class IV contingency plan scenario, and the thermal management object is a subsystem of a hybrid vehicle; then the temperature threshold under the Class IV contingency plan scenario will be increased, and the current temperature control process of the thermal management object will be terminated in advance according to the estimated shutdown time; if it is further known that the vehicle will run in pure electric mode under the Class V contingency plan scenario, then the temperature of the thermal management object can be adjusted in advance according to the temperature contingency plan under pure electric mode.

[0015] Among them, the third spatiotemporal planning pre-adjustment step can predict the temperature change process of the thermal management object in the target scene or selected scene before receiving scene intervention information based on the state of charge (SOC) and ambient temperature in the current scene. If the temperature change process exceeds the preset temperature threshold, scene intervention information will be sent immediately until the steady-state high-speed condition is entered or the high-speed condition is exited.

[0016] Furthermore, each scenario in the target scenario sequence must have parameter differences with the current scenario in terms of time and / or space. These parameter differences are distinguished by one or more preset pre-adjustment parameters and / or pre-adjustment parameter thresholds. These pre-adjustment parameters and / or pre-adjustment parameter thresholds are used to set values ​​for the preset control parameters of the thermal management object. These set values ​​represent the target value for temperature adjustment of the thermal management object in the current scenario according to the target scenario or the selected scenario.

[0017] If the third type of contingency scenario is activated, the activation time and target temperature of the execution unit can be optimized according to the iteration process. The start time of the execution unit can be obtained by comparing the preset temperature curve with the temperature curve under the current scenario.

[0018] Furthermore, after acquiring data at a preset level for the vehicle operator, the thermal management method can further refine the adjustment process through a fourth customized individual matching step; wherein, the current scenario and the pre-plan scenario sequence can also be updated based on map navigation information, vehicle information and / or road condition information; and the fourth customized individual matching step can also record the historical operation data and / or parameter setting statistics of the preset vehicle operator.

[0019] If the target scenario or selected scenario is a first-class contingency scenario, the parameters in the contingency scenario sequence will be automatically adjusted to match the historical control data and / or statistical values ​​of the vehicle operator; if the target scenario or selected scenario is a second-class contingency scenario, the temperature setpoint and thermal management threshold can be corrected based on the historical vehicle speed and other information of the vehicle operator on the corresponding road segment in the second-class contingency scenario.

[0020] Accordingly, this invention also discloses a vehicle thermal management device, including a first target scenario prediction unit and a second pre-adjustment information activation unit. The first target scenario prediction unit divides the working scenario of the thermal management object into a current scenario and a sequence of pre-planned scenarios. The current scenario is the working scenario where the thermal management object is currently / in real time, and the sequence of pre-planned scenarios includes at least a first type of pre-planned scenario, which is the working scenario where the thermal management object will appear at a second time / period and / or a second spatial location. The second pre-adjustment information activation unit selects one or a specified number of scenarios from the sequence of pre-planned scenarios as a target scenario or a target scenario sequence. If the preset scenario activation conditions are met, the control parameters of the first heat exchange state of the thermal management object can be adjusted according to the sequence of pre-planned scenarios in the current scenario, and scenario intervention information is sent to a preset execution unit for decision-making. The first heat exchange state is the heat exchange state in the current scenario.

[0021] Furthermore, the vehicle thermal management device may also be equipped with a third spatiotemporal planning and pre-adjustment unit; the third spatiotemporal planning and pre-adjustment unit may adjust the thermal management object according to the first thermal management parameter sequence corresponding to the target scenario or the second thermal management parameter sequence corresponding to the selected scenario in the target scenario sequence, and intervene in its first heat exchange state; the selected scenario must be selected by the target scenario sequence.

[0022] The contingency plan scenario sequence may also include at least one of the second type of contingency plan scenario, the third type of contingency plan scenario, the fourth type of contingency plan scenario, the fifth type of contingency plan scenario, up to the Nth type of contingency plan scenario (0NN), where N is a positive integer greater than or equal to 1.

[0023] Specifically, the first type of contingency plan scenario can be a remote cockpit pre-adjustment scenario, with the additional condition that the vehicle is in a parked state and the battery's state of charge (SOC) is sufficient to support energy consumption requirements. It predicts the temperature sequence of the thermal management object and reverses the timing of the scenario intervention information triggering, thus intervening in its first heat exchange state in advance.

[0024] If the target scenario or selected scenario is a first-class contingency scenario, the target parameters of the first-class contingency scenario can be specified by the mobile terminal in the current scenario by the location of the thermal management object or remotely / remotely. If the target scenario or selected scenario is a second-class contingency scenario and / or a third-class contingency scenario, and the second-class contingency scenario is a battery high-load pre-adjustment scenario and the third-class contingency scenario is a battery charging pre-adjustment scenario, then the thermal management object can be intervened before entering the target scenario or selected scenario, and scenario intervention information can be sent according to the requirements of the target temperature range during charging and / or battery high-load conditions.

[0025] Furthermore, if the target scenario or selected scenario is a Class IV contingency scenario and / or a Class V contingency scenario, and the thermal management object will enter the off state with the vehicle and the vehicle has no charging requirement under the Class IV contingency scenario; or, the thermal management object is a subsystem of a hybrid vehicle; then the temperature threshold under the Class IV contingency scenario can be increased, and the current temperature control process of the thermal management object can be terminated in advance according to the estimated shutdown time.

[0026] If it is further known that the vehicle will operate in pure electric mode under the fifth type of contingency plan scenario, the temperature of the thermal management object can be adjusted in advance according to the temperature plan under pure electric mode.

[0027] Specifically, its third spatiotemporal planning and pre-adjustment unit can predict the temperature change process of the target scene or selected scene before the thermal management object receives scene intervention information based on the state of charge (SOC) and ambient temperature in the current scene. If the temperature change process exceeds the preset temperature threshold, scene intervention information is immediately sent until the steady-state high-speed condition is entered or the high-speed condition is exited.

[0028] Among them, each scenario in the target scenario sequence must have parameter differences with the current scenario in time and / or space. The parameter differences are distinguished by one or more preset pre-adjustment parameters and / or pre-adjustment parameter thresholds. The pre-adjustment parameters and / or pre-adjustment parameter thresholds are used to give set values ​​for the preset control parameters of the thermal management object. The set value represents the target value for temperature adjustment of the thermal management object in the current scenario according to the target scenario or the selected scenario. If the third type of contingency scenario is activated, the activation time and target temperature of the execution unit can be optimized according to the iteration process. The start time of the execution unit is obtained by comparing the preset temperature curve with the temperature curve in the current scenario.

[0029] Furthermore, the vehicle thermal management device may also be equipped with a fourth customized individual matching unit; wherein, the current scenario and the sequence of pre-plan scenarios can be updated according to map navigation information, vehicle information and / or road condition information; the fourth customized individual matching unit can also record the historical operation data and / or parameter setting statistics of the vehicle's preset driver. If the target scenario or selected scenario is a first-class pre-plan scenario, the parameters in the pre-plan scenario sequence can be automatically adjusted and matched with the historical operation data and / or statistical values ​​of the vehicle driver; if the target scenario or selected scenario is a second-class pre-plan scenario, the temperature setting value and thermal management threshold can be corrected according to the historical vehicle speed and other information of the vehicle driver on the corresponding road segment in the second-class pre-plan scenario.

[0030] Similarly, embodiments of the present invention also disclose a computer storage medium and a controller; the storage medium includes a storage medium body for storing a computer program; when the computer program is executed by a microprocessor, it is used to implement any of the above-mentioned automotive thermal management methods; the controller includes any of the above-mentioned automotive thermal management devices and / or any of the computer storage media, which can realize the same inventive concept.

[0031] In summary, by acquiring network information in advance, identifying the scenarios that need to be activated, collecting the network signals required by the scenarios, and relying on iterative and optimization algorithms to predict future temperature curves, the thermal management system can control its state and maintain the cabin temperature and battery operating temperature range in a suitable state. This is beneficial for improving battery range and lifespan, and also enhances the user's driving experience.

[0032] Among them, by activating the target scenario or target scenario sequence under the pre-planned scenario in the current scenario, the parameter adjustment process of the thermal management object is intervened in advance at different times or spatial locations, thereby realizing the multi-scenario predictive thermal management function MPTM of the vehicle system.

[0033] It should be noted that the terms "first," "second," and similar terms used in this article are merely for describing the constituent elements of the technical solution and do not constitute a limitation on the technical solution, nor should they be interpreted as an indication or implication of the importance of the corresponding elements; elements with terms such as "first," "second," or similar terms indicate that at least one of the elements is included in the corresponding technical solution. Attached Figure Description

[0034] To more clearly illustrate the technical solution of the present invention and facilitate a further understanding of its technical effects, features, and objectives, the present invention will be described in detail below with reference to the accompanying drawings. The drawings constitute an essential part of the specification and are used together with Embodiment 1 of the present invention to illustrate the technical solution of the present invention, but do not constitute a limitation on the present invention.

[0035] The same reference numerals in the attached diagrams represent the same parts, specifically: Figure 1 This is a schematic diagram of the information flow in the first scenario embodiment of the present invention.

[0036] Figure 2 This is a schematic diagram of the structural composition of an embodiment of the device of the present invention. Figure 1 .

[0037] Figure 3 This is a schematic diagram of the information flow in a second scenario embodiment of the present invention.

[0038] Figure 4 This is a schematic diagram of the structural composition of an embodiment of the device of the present invention. Figure 2 .

[0039] Figure 5 This is a schematic diagram of the information flow in a third scenario embodiment of the present invention.

[0040] Figure 6 This is a schematic diagram of the structural composition of an embodiment of the device of the present invention. Figure 3 .

[0041] Figure 7 This is a schematic diagram of the information flow in the fourth scenario embodiment of the present invention.

[0042] Figure 8 This is a schematic diagram of the structural composition of an embodiment of the device of the present invention. Figure 4 .

[0043] Figure 9 This is a schematic diagram of the information flow in the fifth scenario embodiment of the present invention.

[0044] Figure 10 This is a schematic diagram of the process of an embodiment of the method of the present invention.

[0045] Figure 11 This is a schematic diagram of the structural composition of an embodiment of the device of the present invention. Figure 5 .

[0046] Figure 12 This is a schematic diagram of the layout structure of an embodiment of the product of the present invention. Figure 1 .

[0047] Figure 13 This is a schematic diagram of the layout structure of an embodiment of the product of the present invention. Figure 2 .

[0048] Figure 14 This is a schematic diagram of the layout structure of an embodiment of the product of the present invention. Figure 3 .

[0049] in: 001 - Current scenario; 010 - Contingency Plan Scenario Sequence; 011 - First type of contingency plan scenario; 022 - Second type of contingency plan scenario; 033 - Third type of contingency plan scenario; 044 - Fourth Category Contingency Plan Scenario; 055 - Fifth Category Contingency Plan Scenario; 057 - Hybrid Mode; 059 - Pure Electric Mode; 099 - Thermal management object; 100 - First target scenario prediction steps; 101 - Scene Information; 110 - Navigation data processing module; 120 - Fault Diagnosis Module; 130 - Temperature pretreatment module; 200 - Second pre-adjustment information activation step; 201 - Scene Activation Conditions; 210 - Functional state machine; 222 - Scene intervention information; 300 - Third Spatiotemporal Planning Pre-adjustment Steps; 310-Temperature Sequence Prediction 1; 311 - Cockpit Temperature Sequence Prediction; 320-Temperature Sequence Prediction 2; 321 - Reverse derivation of temperature sequence; 330 - Iterative Optimization Module; 331 - Find the intersection point; 333 - Temperature preset information; 340 - Battery overheating risk assessment module; 341 - Compare outputs; 400 - Fourth customized individual matching step; 500 - Related peripherals; 510-Timing Module; 520 - Charging Time Estimation Module; 610 - Temperature profiles of thermally managed objects in related technologies; 620 - Temperature curve of the thermal management object in an embodiment of the present invention; 630 - State of Charge (SOC) curve of an embodiment of the present invention; 640 - Related technologies: State of charge (SOC) curve; 700 - Automotive thermal management device; 710 - First target scene prediction unit; 720 - Second pre-adjustment information activation unit; 730 - Third Spatiotemporal Planning Pre-adjustment Unit; 740 - Fourth Customized Individual Matching Unit; 900 - Vehicles; 901 - Controller; 903 - Computer storage media; 991 - Vehicle Operator; 999 - Vehicle operator group. Implementation

[0050] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Of course, the specific embodiments described below are merely illustrative of the technical solutions of the present invention, and not intended to limit the invention. Furthermore, the parts described in the embodiments or drawings are merely illustrative examples of relevant parts of the present invention, and not the entirety of the invention.

[0051] like Figure 10 The automotive thermal management method shown includes a first target scenario prediction step 100 and a second pre-adjustment information activation step 200; the first target scenario prediction step 100 divides the working scenario of the thermal management object 099 into, for example... Figure 2 The current scenario 001 and the contingency scenario sequence 010 are shown; the current scenario 001 is the current / real-time working scenario where the thermal management object is located, and the contingency scenario sequence 010 includes at least the first type of contingency scenario 011, which can be the working scenario where the thermal management object 099 will appear at the second time / period and / or the second spatial location.

[0052] Furthermore, the second pre-adjustment information activation step 200 can select one or a specified number of scenarios from the pre-plan scenario sequence 010 as the target scenario 020 or the target scenario sequence 030; if the preset scenario activation condition 201 is met, the control parameters of the first heat exchange state of the heat management object 099 can be adjusted according to the pre-plan scenario sequence 010 under the current scenario 001, and scenario intervention information 222 is sent to the preset execution unit for decision-making; the first heat exchange state is the heat exchange state under the current scenario 001.

[0053] Furthermore, the vehicle thermal management method may also include a third spatiotemporal planning and pre-adjustment step 300; the third spatiotemporal planning and pre-adjustment step 300 adjusts the thermal management object 099 according to the first thermal management parameter sequence corresponding to the target scenario 020 or the second thermal management parameter sequence corresponding to the selected scenario 033 in the target scenario sequence 030, and intervenes in its first heat exchange state; the selected scenario 033 is selected by the target scenario sequence 030.

[0054] Among them, scenario sequence 010 of the contingency plan also includes, for example, Figure 3The second type of contingency plan scenario 022 shown is as follows: Figure 5 The third type of contingency plan scenario 033 shown is as follows: Figure 7 The fourth type of contingency plan scenario 044 shown is as follows: Figure 9 The fifth type of contingency scenario 055 shown is at least one of the Nth type of contingency scenario (0NN), where N is a positive integer greater than or equal to 1.

[0055] Specifically, its first type of contingency plan scenario 011 is a remote cockpit pre-adjustment scenario. With the additional condition that the vehicle 900 is in a parked state and the battery's state of charge (SOC) is sufficient to support energy consumption requirements, the temperature sequence of the thermal management object 099 is predicted and the moment when the scenario intervention information 222 is triggered is deduced, so as to intervene in the first heat exchange state in advance.

[0056] If the target scenario 020 or the selected scenario 033 is the first type of contingency scenario 011, the target parameters of the first type of contingency scenario 011 can be specified by the mobile terminal in the current scenario 001 by the location of the thermal management object 099 or remotely / remotely. If the target scenario 020 or the selected scenario 033 is the second type of contingency scenario 022 and / or the third type of contingency scenario 033, and the second type of contingency scenario 022 is a battery high load pre-adjustment scenario and the third type of contingency scenario 033 is a battery charging pre-adjustment scenario, then the thermal management object 099 can be intervened before entering the target scenario 020 or the selected scenario 033, and the scenario intervention information 222 is sent according to the requirements of the target temperature range during charging and / or battery high load conditions.

[0057] Specifically, if the target scenario 020 or the selected scenario 033 is the fourth type of contingency scenario 044 and / or the fifth type of contingency scenario 055, and under the fourth type of contingency scenario 044, the thermal management object 099 will enter the off state along with the vehicle 900 and the vehicle 900 has no charging requirement; or, the thermal management object 099 is a subsystem of a hybrid vehicle; then the temperature threshold under the fourth type of contingency scenario 044 can be increased, and the current temperature control process of the thermal management object 099 can be ended in advance according to the estimated shutdown time.

[0058] If it is further learned that vehicle 900 will be operating in pure electric mode under scenario 055 of the fifth type of contingency plan, the temperature of thermal management object 099 can be adjusted in advance according to the temperature contingency plan under pure electric mode.

[0059] Specifically, its third spatiotemporal planning pre-adjustment step 300 can predict the temperature change process of the thermal management object 099 before receiving the scene intervention information 222 based on the SOC and ambient temperature under the current scene 001. If the temperature change process exceeds the preset temperature threshold, the scene intervention information 222 can be sent immediately until the steady-state high-speed condition is entered or the high-speed condition is exited.

[0060] Furthermore, each scenario in the target scenario sequence 010 has parameter differences from the current scenario 001 in time and / or space. These parameter differences can be distinguished by one or more preset pre-adjustment parameters and / or pre-adjustment parameter thresholds. These pre-adjustment parameters and / or pre-adjustment parameter thresholds can be used to set values ​​for preset control parameters of the thermal management object 099. These set values ​​represent the target value for temperature adjustment of the thermal management object 099 under the current scenario 001 according to the target scenario 020 or the selected scenario 033. If the third type of contingency scenario 033 is activated, the activation time and target temperature of the execution unit can be optimized according to the iteration process. The startup time of the execution unit is obtained by comparing the preset temperature curve with the temperature curve under the current scenario 001.

[0061] Furthermore, the vehicle thermal management method also includes a fourth customized individual matching step 400; wherein, the current scenario 001 and the pre-plan scenario sequence 010 can be updated according to map navigation information, vehicle information and / or road condition information; the fourth customized individual matching step 400 can also record the historical control data and / or parameter setting statistics of the vehicle 900 preset vehicle operator 991. If the target scenario 020 or the selected scenario 033 is the first type of pre-plan scenario 011, the parameters in the pre-plan scenario sequence 010 can be automatically adjusted and matched with the historical control data and / or statistical values ​​of the vehicle operator 991.

[0062] If the target scenario 020 or the selected scenario 033 is the second type of contingency scenario 022, the temperature setpoint and thermal management threshold can be adjusted according to the historical vehicle speed of the vehicle operator 991 on the road segment corresponding to the second type of contingency scenario 022.

[0063] Accordingly, such as Figure 11 The vehicle thermal management device 700 shown includes a first target scenario prediction unit 710 and a second pre-adjustment information activation unit 720. The first target scenario prediction unit 710 divides the working scenario of the thermal management object 099 into a current scenario 001 and a contingency scenario sequence 010. The current scenario 001 is the working scenario where the thermal management object 099 is currently / in real time. The contingency scenario sequence 010 includes at least a first type of contingency scenario 011, which is the working scenario where the thermal management object 099 will appear at a second time / period and / or a second spatial location.

[0064] The second pre-adjustment information activation unit 720 selects one or a specified number of scenarios from the pre-plan scenario sequence 010 as the target scenario 020 or the target scenario sequence 030. If the preset scenario activation condition 201 is met, the control parameters of the first heat exchange state of the heat management object 099 are allowed to be adjusted according to the pre-plan scenario sequence 010 under the current scenario 001, and scenario intervention information 222 is sent to the preset execution unit for decision-making. The first heat exchange state is the heat exchange state under the current scenario 001.

[0065] Specifically, the vehicle thermal management device 700 also includes a third spatiotemporal planning and pre-adjustment unit 730; the third spatiotemporal planning and pre-adjustment unit 730 adjusts the thermal management object 099 according to the first thermal management parameter sequence corresponding to the target scenario 020 or the second thermal management parameter sequence corresponding to the selected scenario 033 in the target scenario sequence 030, and intervenes in the first heat exchange state; the selected scenario 033 is selected by the target scenario sequence 030.

[0066] Among them, the contingency scenario sequence 010 also includes the second type of contingency scenario 022, the third type of contingency scenario 033, the fourth type of contingency scenario 044, and the fifth type of contingency scenario 055; the first type of contingency scenario 011 is a remote cockpit pre-adjustment scenario, which uses the additional condition that the vehicle 900 is in a parked state and the battery's state of charge (SOC) is sufficient to support the energy consumption demand, predicts the temperature sequence of the thermal management object 099 and reverse-engineers the triggering time of the scenario intervention information 222, and intervenes in the first heat exchange state in advance.

[0067] Furthermore, if the target scenario 020 or the selected scenario 033 is the first type of contingency scenario 011, then the target parameters of the first type of contingency scenario 011 can be determined by the mobile terminal under the current scenario 001, such as... Figure 1 The location or remote / remote location of the thermal management object 099 is specified; if the target scenario 020 or the selected scenario 033 is the second type of contingency scenario 022 and / or the third type of contingency scenario 033, and the second type of contingency scenario 022 is a battery high load pre-adjustment scenario and the third type of contingency scenario 033 is a battery charging pre-adjustment scenario, then the thermal management object 099 will be intervened before entering the target scenario 020 or the selected scenario 033, and scenario intervention information 222 will be sent according to the requirements of the target temperature range during charging and / or battery high load conditions.

[0068] If the target scenario 020 or the selected scenario 033 is the fourth type of contingency scenario 044 and / or the fifth type of contingency scenario 055, and the thermal management object 099 will enter the off state with the vehicle 900 under the fourth type of contingency scenario 044 and the vehicle 900 has no charging requirement, and the thermal management object 099 is a subsystem of the hybrid vehicle; then the temperature threshold under the fourth type of contingency scenario 044 will be increased, and the current temperature control process of the thermal management object 099 will be terminated in advance according to the estimated shutdown time.

[0069] Furthermore, if it is further learned that vehicle 900 will be operating in pure electric mode under scenario 055 of the fifth contingency plan, the temperature of thermal management object 099 will be adjusted in advance according to the temperature contingency plan under pure electric mode.

[0070] Furthermore, the third spatiotemporal planning and pre-adjustment unit 730 can predict the temperature change process of the thermal management object 099 before receiving the scene intervention information 222 based on the SOC and ambient temperature under the current scene 001. If the temperature change process exceeds the preset temperature threshold, the scene intervention information 222 is sent immediately until the steady-state high-speed condition is entered or the high-speed condition is exited.

[0071] Among them, each scenario in the target scenario sequence 010 has parameter differences with the current scenario 001 in time and / or space. These parameter differences are distinguished by one or more preset pre-adjustment parameters and / or pre-adjustment parameter thresholds. The pre-adjustment parameters and / or pre-adjustment parameter thresholds are used to give set values ​​to the preset control parameters of the thermal management object 099. The set value represents the target value for the thermal management object 099 to adjust the temperature according to the target scenario 020 or the selected scenario 033 under the current scenario 001. If the third type of contingency scenario 033 is activated, the time of activation of the execution unit and the target temperature can be optimized according to the iteration process. The start time of the execution unit is obtained by comparing the preset temperature curve with the temperature curve under the current scenario 001.

[0072] Furthermore, such as Figure 11 The vehicle thermal management device 700 shown also includes a fourth customized individual matching unit 740; wherein, the current scenario 001 and the pre-plan scenario sequence 010 are updated according to map navigation information, vehicle information and / or road condition information; its fourth customized individual matching unit 740 also records vehicle 900 such as Figure 12 The historical control data and / or parameter setting statistics of the preset vehicle operator 991 are shown. If the target scenario 020 or the selected scenario 033 is the first type of contingency scenario 011, the parameters in the contingency scenario sequence 010 will be automatically adjusted and matched with the historical control data and / or statistical values ​​of the vehicle operator 991. If the target scenario 020 or the selected scenario 033 is the second type of contingency scenario 022, the temperature setting value and thermal management threshold will be corrected according to the historical vehicle speed of the vehicle operator 991 on the road segment corresponding to the second type of contingency scenario 022.

[0073] In practical applications, its MPTM function aims to plan and manage the vehicle's thermal management system in advance based on inputs such as map navigation information, vehicle information, and road condition information, in response to upcoming operating conditions or driving behaviors. Through various means, it reduces energy consumption or improves battery performance under the same operating conditions, thereby achieving the goals of energy saving and efficiency improvement.

[0074] These can typically be categorized into four or five scenarios: scenario 011 (Category 1), scenario 022 (Category 2), scenario 033 (Category 3), scenario 044 (Category 4), and scenario 055 (Category 5). These correspond to remote cockpit pre-adjustment, high-load battery pre-adjustment, battery charging pre-adjustment, and near-destination pre-adjustment and driver / passenger customization, respectively. Furthermore, they can be used in combination to cover the thermal management needs under regular commuting conditions.

[0075] One is remote cockpit pre-adjustment, such as Figure 1 As shown; in the hot summer or cold winter, the temperature inside the car can make the driver feel stuffy or cold when they first enter the car, and it often takes a while to gradually improve the temperature after turning on the air conditioning, causing strong discomfort to the user; in order to improve the driving experience, the driver can make a reservation in advance through the remote control device on their mobile phone to preheat or cool the cabin, thereby improving driving comfort.

[0076] Its scenario implementation process is as follows Figure 2 As shown, this scenario is activated when the vehicle is parked and the battery SOC can support the energy consumption requirements for temperature regulation. By predicting the temperature sequence of the cockpit in the inactive state, the time when the thermal management system needs to be activated is calculated in reverse. When the actual time reaches this activation time, the thermal management system is instructed to activate temperature regulation.

[0077] Secondly, there is battery pre-adjustment under high load, such as... Figure 3 As shown, when a high-load scenario occurs on the road ahead (such as entering the highway from a ramp or a long, steep slope in a mountainous area), it indicates an impending high-load charging and discharging demand. If no control is implemented, the battery discharge power will increase sharply, and the thermal management system will cause the battery temperature to rise rapidly due to system lag. Overheating of the battery will affect the battery's charging and discharging capacity and battery life. At this time, it is necessary to cool the battery in advance through reasonable battery temperature pre-regulation to ensure that the battery temperature is within a suitable range under high-load conditions.

[0078] Its scenario implementation is as follows Figure 4 As shown, by obtaining information such as the slope, average speed, and road type of the road ahead through the network system, it is possible to determine whether there is an upcoming high-load scenario; by predicting battery energy consumption, the battery temperature curve after reaching a high-load condition for a period of time is estimated based on factors such as the current battery status and ambient temperature. If the temperature curve exceeds the set value range, thermal management control needs to be activated immediately until the steady-state high-speed condition is entered or the high-speed condition is exited.

[0079] Thirdly, there is battery charging pre-adjustment, such as... Figure 5As shown; considering that the battery charging current is greatly affected by the battery temperature, if the battery temperature is too high or too low, even if the charging station can provide a large current for charging, the Battery Management System (BMS) will only allow a small current for charging due to the characteristics of the battery itself. Therefore, if the battery temperature is not within a suitable range during charging, the charging time will be greatly extended, resulting in a poor driving experience. In this scenario, based on intelligent network information, battery thermal management is activated in advance during driving, so that the battery temperature is at a suitable temperature when the vehicle arrives at the charging station. Because the temperature is more suitable, the charging current can be increased, thereby shortening the charging time.

[0080] like Figure 5 As shown, the temperature curve 610 of the thermally managed object in the related technology is the curve when thermal management control is not activated; the temperature curve 620 of the thermally managed object in this embodiment of the invention is the curve when thermal management control is activated; comparing the state of charge (SOC) curve 630 of this embodiment of the invention with the state of charge (SOC) curve 640 of the related technology, it can be seen that because the slope of the charging is greater when thermal management is activated in advance than the slope when no intervention is applied, time costs are saved (i.e., Figure 5 The time difference between the right endpoints of curves 630 and 640.

[0081] Its scenario implementation is as follows Figure 6 As shown, based on the information from the intelligent connected system, after the function is activated, the future driving conditions and energy consumption of the vehicle are predicted, and the battery status (SOC and temperature) is obtained when the target charging station is reached. First, the battery temperature sequence under the condition of inactive thermal management is calculated. Then, based on the alternative target temperature range when the charging station is reached, the alternative reverse temperature curve is predicted. The intersection of the alternative temperature curve and the inactive temperature curve is taken as the activation time of each alternative target temperature.

[0082] Furthermore, by determining the final activation time of thermal management and the target temperature, optimization is performed based on the iterative optimization module 330. The candidate temperature curve with the largest ratio of time saving and thermal management energy consumption is taken as the target. The intersection of the candidate temperature curve with the inactive temperature curve is the activation time of thermal management, thereby maximizing the effect of saving time and minimizing thermal management energy consumption.

[0083] Fourthly, for scenarios where the system is nearing the destination, if the network system detects that the navigation destination is approaching and there is no need for charging, the battery thermal management control can be paused, and the upper and lower limits of temperature or threshold can be reasonably relaxed. If the temperature does not exceed the set upper and lower limits, thermal management adjustment will not be performed to avoid wasting extra energy.

[0084] Its scenario implementation is as follows Figure 8As shown, similar to the battery high load pre-adjustment scenario, when the vehicle is close to the front and the battery does not have a significant charging demand, calculation is triggered. The battery temperature change curve from the vehicle's location to the destination is calculated according to the iterative logic. If the upper and lower limits of the battery temperature curve do not exceed the set temperature values, thermal management can be turned off.

[0085] By acquiring network information in advance, the system identifies the scenarios that need to be activated, collects the network signals required by the scenarios, and predicts the future temperature curve based on iterative and optimization algorithms. This controls the state of the thermal management system, maintaining the cabin temperature and battery operating temperature range in a suitable state, improving battery range and lifespan, and enhancing the user's driving experience.

[0086] Fifthly, there are customized application scenarios, the implementation process of which is as follows: Figure 9 As shown, the system can utilize cloud-based big data storage to statistically analyze individual user needs and perform matching optimizations; it can also improve the parameter settings in scenario 011 of the first type of contingency plan by recording users' historical setting habits, and recommend the target temperature that users set most frequently; for the air conditioning settings and operating habits set by users, the temperature recommended by big data can also be used as the target temperature in scenario 011 of the first type of contingency plan, and the air conditioning energy consumption can be obtained.

[0087] Furthermore, the parameter optimization process for scenario 022 of the second type of contingency plan can be improved by increasing the accuracy of temperature prediction and adjusting the thermal management threshold based on the user's historical vehicle speed on the same highway segment.

[0088] like Figure 9 As shown, for hybrid vehicles, the system can determine whether pure electric mode 059 is about to be activated based on road conditions ahead and battery status information (e.g., traffic congestion ahead). Before entering pure electric mode 059, the battery temperature is adjusted to a suitable range to prevent overheating or overcooling, thereby improving charging and discharging efficiency and extending the driving range. This also involves switching the vehicle's operating mode from hybrid mode 057 to pure electric mode 059. This can also be considered as a disturbance to the temperature control system to compensate for the resulting heat exchange demands.

[0089] Similarly, as Figure 12 , 13 The computer storage medium 903 shown in 14 includes a storage medium body for storing a computer program; when the computer program is executed by the microprocessor, it is used to implement the vehicle thermal management method as described above; its controller 901 includes the vehicle thermal management device 700 as described above and / or the computer storage medium 903 as described above; the implementation process will not be described in detail.

[0090] It should be noted that the above embodiments are only for more clearly illustrating the technical solution of the present invention. Those skilled in the art will understand that the implementation of the present invention is not limited to the above content. Any obvious changes, substitutions or replacements made based on the above content do not exceed the scope of the technical solution of the present invention. Other implementations will also fall within the scope of the present invention without departing from the concept of the present invention.

Claims

1. A thermal management method for vehicles, characterized in that, The process includes a first target scenario prediction step (100) and a second pre-adjustment information activation step (200). The first target scenario prediction step (100) divides the working scenario of the thermal management object (099) into a current scenario (001) and a contingency scenario sequence (010). The current scenario (001) is the working scenario where the thermal management object is currently / in real-time, and the contingency scenario sequence (010) includes at least a first type of contingency scenario (011), which is the scenario where the thermal management object (099) is about to appear at a second time / period and / or a second spatial location. The working scenario; the second pre-adjustment information activation step (200) selects one or a specified number of scenarios from the pre-plan scenario sequence (010) as the target scenario (020) or target scenario sequence (030); if the preset scenario activation condition (201) is met, then under the current scenario (001), it is allowed to adjust the control parameters of the first heat exchange state of the heat management object (099) according to the pre-plan scenario sequence (010), and send scenario intervention information (222) to the preset execution unit for decision-making; the first heat exchange state is the heat exchange state under the current scenario (001); The contingency scenario sequence (010) also includes at least one of the second type of contingency scenario (022), the third type of contingency scenario (033), the fourth type of contingency scenario (044), the fifth type of contingency scenario (055), up to the Nth type of contingency scenario (0NN), where N is a positive integer greater than or equal to 1; the first type of contingency scenario (011) is a remote cockpit pre-adjustment scenario, with the vehicle (900) in a parked state and the battery state of charge (SOC) sufficient to support energy consumption as additional conditions, predicting the temperature sequence of the thermal management object (099) and deducing the time when the scenario intervention information (222) is triggered, and intervening in the first heat exchange state in advance.

2. The vehicle thermal management method as described in claim 1 further includes a third spatiotemporal planning and pre-adjustment step (300); the third spatiotemporal planning and pre-adjustment step (300) adjusts the thermal management object (099) according to the first thermal management parameter sequence corresponding to the target scenario (020) or the second thermal management parameter sequence corresponding to the selected scenario (033) in the target scenario sequence (030), thereby intervening in the first heat exchange state; the selected scenario (033) is selected by the target scenario sequence (030).

3. The automotive thermal management method as described in claim 2, wherein: If the target scenario (020) or the selected scenario (033) is the first type of contingency scenario (011), then the target parameters of the first type of contingency scenario (011) are specified by the mobile terminal in the current scenario (001) by the location of the thermal management object (099) or remotely / remotely; if the target scenario (020) or the selected scenario (033) is the second type of contingency scenario (022) and / or the third type of contingency scenario (033), and the second type of contingency scenario (022) is a battery high load pre-adjustment scenario, and the third type of contingency scenario (033) is a battery charging pre-adjustment scenario, then the thermal management object (099) is intervened before entering the target scenario (020) or the selected scenario (033), and the scenario intervention information (222) is sent according to the requirements of the target temperature range during charging and / or battery high load conditions.

4. The automotive thermal management method as described in claim 3, wherein: The target scenario (020) or the selected scenario (033) is a fourth type of contingency scenario (044) and / or a fifth type of contingency scenario (055), and in the fourth type of contingency scenario (044), the thermal management object (099) will enter the off state along with the vehicle (900) and the vehicle (900) has no charging requirement, and the thermal management object (099) is a subsystem of the hybrid vehicle; then the temperature threshold under the fourth type of contingency scenario (044) is increased, and the current temperature control process of the thermal management object (099) is ended in advance according to the estimated shutdown time; If it is further learned that the vehicle (900) will operate in pure electric mode under the fifth type of contingency plan scenario (055), then the temperature of the thermal management object (099) will be adjusted in advance according to the temperature contingency plan under the pure electric mode.

5. The automotive thermal management method as described in claim 2, 3, or 4, wherein: The third spatiotemporal planning pre-adjustment step (300) predicts the temperature change process of the target scenario (020) or the selected scenario (033) before the thermal management object (099) receives the scenario intervention information (222) based on the battery status and ambient temperature under the current scenario (001). If the temperature change process exceeds the preset temperature threshold, the scenario intervention information (222) is immediately sent until the steady-state high-speed condition is entered or the high-speed condition is exited.

6. The automotive thermal management method as described in claim 5, wherein: Each scenario in the target scenario sequence (030) has parameter differences with the current scenario (001) in time and / or space. The parameter differences are distinguished by one or more preset pre-adjustment parameters and / or pre-adjustment parameter thresholds. The pre-adjustment parameters and / or the pre-adjustment parameter thresholds are used to give set values ​​to the preset control parameters of the thermal management object (099). The set value represents the target value for the thermal management object (099) to adjust the temperature according to the target scenario (020) or the selected scenario (033) under the current scenario (001). When the third type of contingency scenario (033) is activated, the time and target temperature of activating the execution unit are optimized according to the iteration process. The start time of the execution unit is obtained by comparing the preset temperature curve with the temperature curve under the current scenario (001).

7. The automotive thermal management method as described in claim 2, 3, 4 or 6, further comprising a fourth customized individual matching step (400); wherein: The current scenario (001) and the contingency scenario sequence (010) are updated according to map navigation information, vehicle information and / or road condition information; the fourth customized individual matching step (400) also records the historical control data and / or parameter setting statistics of the vehicle (900) preset vehicle operator (991). If the target scenario (020) or the selected scenario (033) is the first type of contingency scenario (011), the parameters in the contingency scenario sequence (010) are automatically adjusted and matched with the historical control data and / or the statistical values ​​of the vehicle operator (991); if the target scenario (020) or the selected scenario (033) is the second type of contingency scenario (022), the temperature setting value and thermal management threshold are corrected according to the historical vehicle speed of the vehicle operator (991) on the road segment corresponding to the second type of contingency scenario (022).

8. A vehicle thermal management device (700), comprising a first target scene prediction unit (710) and a second pre-adjustment information activation unit (720); wherein, The first target scenario prediction unit (710) divides the working scenario of the thermal management object (099) into the current scenario (001) and the contingency scenario sequence (010); the current scenario (001) is the working scenario where the thermal management object is currently / in real time, and the contingency scenario sequence (010) includes at least a first type of contingency scenario (011), which is the working scenario where the thermal management object (099) will appear at the second time / period and / or the second spatial location; the second pre-adjustment information activation unit (720) Select one or a specified number of scenarios from the pre-plan scenario sequence (010) as the target scenario (020) or target scenario sequence (030); if the preset scenario activation condition (201) is met, then under the current scenario (001), the control parameters of the first heat exchange state of the heat management object (099) are allowed to be adjusted according to the pre-plan scenario sequence (010), and scenario intervention information (222) is sent to the preset execution unit for decision-making; the first heat exchange state is the heat exchange state under the current scenario (001); The contingency scenario sequence (010) also includes at least one of the second type of contingency scenario (022), the third type of contingency scenario (033), the fourth type of contingency scenario (044), the fifth type of contingency scenario (055), up to the Nth type of contingency scenario (0NN), where N is a positive integer greater than or equal to 1; the first type of contingency scenario (011) is a remote cockpit pre-adjustment scenario, with the vehicle (900) in a parked state and the battery state of charge (SOC) sufficient to support energy consumption as additional conditions, predicting the temperature sequence of the thermal management object (099) and deducing the time when the scenario intervention information (222) is triggered, and intervening in the first heat exchange state in advance.

9. The vehicle thermal management device (700) as described in claim 8 further includes a third spatiotemporal planning and pre-adjustment unit (730); the third spatiotemporal planning and pre-adjustment unit (730) adjusts the thermal management object (099) according to the first thermal management parameter sequence corresponding to the target scene (020) or the second thermal management parameter sequence corresponding to the selected scene (033) in the target scene sequence (030), and intervenes in the first heat exchange state; the selected scene (033) is selected by the target scene sequence (030).

10. The automotive thermal management device (700) as described in claim 9, wherein: If the target scenario (020) or the selected scenario (033) is the first type of contingency scenario (011), then the target parameters of the first type of contingency scenario (011) are specified by the mobile terminal in the current scenario (001) by the location of the thermal management object (099) or remotely / remotely; if the target scenario (020) or the selected scenario (033) is the second type of contingency scenario (022) and / or the third type of contingency scenario (033), and the second type of contingency scenario (022) is a battery high load pre-adjustment scenario, and the third type of contingency scenario (033) is a battery charging pre-adjustment scenario, then the thermal management object (099) is intervened before entering the target scenario (020) or the selected scenario (033), and the scenario intervention information (222) is sent according to the requirements of the target temperature range during charging and / or battery high load conditions.

11. The automotive thermal management device (700) as claimed in claim 10, wherein: The target scenario (020) or the selected scenario (033) is a fourth type of contingency scenario (044) and / or a fifth type of contingency scenario (055), and in the fourth type of contingency scenario (044), the thermal management object (099) will enter the off state with the vehicle (900) and the vehicle (900) has no charging requirement, and the thermal management object (099) is a subsystem of the hybrid vehicle; then the temperature threshold under the fourth type of contingency scenario (044) is increased, and the current temperature control process of the thermal management object (099) is ended in advance according to the estimated shutdown time; If it is further learned that the vehicle (900) will operate in pure electric mode under the fifth type of contingency plan scenario (055), then the temperature of the thermal management object (099) will be adjusted in advance according to the temperature contingency plan under the pure electric mode.

12. The automotive thermal management device (700) as described in claim 9, 10, or 11, wherein: The third spatiotemporal planning pre-adjustment unit (730) predicts the temperature change process of the thermal management object (099) in the target scenario (020) or the selected scenario (033) before the thermal management object (099) receives the scenario intervention information (222) based on the battery status and ambient temperature in the current scenario (001). If the temperature change process exceeds the preset temperature threshold, the scenario intervention information (222) is immediately sent until the steady-state high-speed condition is entered or the high-speed condition is exited.

13. The automotive thermal management device (700) as described in claim 12, wherein: Each scenario in the target scenario sequence (030) has parameter differences with the current scenario (001) in time and / or space. The parameter differences are distinguished by one or more preset pre-adjustment parameters and / or pre-adjustment parameter thresholds. The pre-adjustment parameters and / or the pre-adjustment parameter thresholds are used to give set values ​​to the preset control parameters of the thermal management object (099). The set value represents the target value for the thermal management object (099) to adjust the temperature according to the target scenario (020) or the selected scenario (033) under the current scenario (001). When the third type of contingency scenario (033) is activated, the time and target temperature of activating the execution unit are optimized according to the iteration process. The start time of the execution unit is obtained by comparing the preset temperature curve with the temperature curve under the current scenario (001).

14. The automotive thermal management device (700) as described in claim 9, 10, 11, or 13, further comprising a fourth customized individual matching unit (740); wherein: The current scenario (001) and the contingency scenario sequence (010) are updated according to map navigation information, vehicle information and / or road condition information; the fourth customized individual matching unit (740) also records the historical control data and / or parameter setting statistics of the preset vehicle operator (991) of the vehicle (900). If the target scenario (020) or the selected scenario (033) is the first type of contingency scenario (011), the parameters in the contingency scenario sequence (010) are automatically adjusted and matched with the historical control data and / or the statistical values ​​of the vehicle operator (991); if the target scenario (020) or the selected scenario (033) is the second type of contingency scenario (022), the temperature setting value and thermal management threshold are corrected according to the historical vehicle speed of the vehicle operator (991) on the road segment corresponding to the second type of contingency scenario (022).

15. A computer storage medium (903) comprising a storage medium body for storing a computer program; wherein the computer program, when executed by a microprocessor, implements the automotive thermal management method as described in any one of claims 1 to 7.

16. A vehicle (900) comprising a vehicle thermal management device (700) as claimed in any one of claims 8 to 14 and / or a computer storage medium (903) as claimed in claim 15.

Images